Short-Range FMCW Monopulse Radar for Hand-Gesture Sensing
"Short-Range FMCW Monopulse Radar for Hand-Gesture Sensing"
Pavlo Molchanov (NVIDIA), Shalini De Mello (NVIDIA), Kihwan Kim (NVIDIA), Kari Pulli (NVIDIA), in IEEE International Radar Conference, May 2015
|Research Area:||Machine Learning & Artificial Intelligence|
|Author(s):||Pavlo Molchanov (NVIDIA), Shalini De Mello (NVIDIA), Kihwan Kim (NVIDIA), Kari Pulli (NVIDIA)|
|Abstract:||Intelligent driver assistance systems have become important in the automotive industry. One key element of such systems is a smart user interface that tracks and recognizes drivers' hand gestures. %Various computer vision systems using optical and depth sensors have been introduced for sensing (tracking/recognition) dynamic gestures. Hand gesture sensing using traditional computer vision techniques is challenging because of wide variations in lighting conditions, e.g., inside a car. A short-range radar device %located in a driver's seat can provide additional information, including the location and instantaneous radial velocity of moving objects.|
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